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  1. LocalOutlierFactor — scikit-learn 1.7.2 documen...

    () array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...fit_predict ( X ) array([ 1, 1, -1, 1]) >>> clf . negative_outlier_factor_...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.LocalOutlierFactor.html
    Sat Oct 18 13:52:20 UTC 2025
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  2. TimeSeriesSplit — scikit-learn 1.7.2 documentation

    array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [...index=[0] Test: index=[1] Fold 1: Train: index=[0 1] Test: index=[2]...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html
    Sat Oct 18 13:52:21 UTC 2025
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  3. VotingClassifier — scikit-learn 1.7.2 documenta...

    ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html
    Sat Oct 18 13:52:20 UTC 2025
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  4. ShuffleSplit — scikit-learn 1.7.2 documentation

    array ([ 1 , 2 , 1 , 2 , 1 , 2 ]) >>> rs = ShuffleSplit...Train: index=[1 3 0 4] Test: index=[5 2] Fold 1: Train: index=[4...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html
    Sat Oct 18 13:52:22 UTC 2025
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  5. SparseCoder — scikit-learn 1.7.2 documentation

    1 , 0 ], ... [ - 1 , - 1 , 2 ], ... [ 1 , 1 , 1 ], ......>>> X = np . array ([[ - 1 , - 1 , - 1 ], [ 0 , 0 , 3 ]]) >>> dictionary...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html
    Sat Oct 18 13:52:20 UTC 2025
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  6. OneVsRestClassifier — scikit-learn 1.7.2 docume...

    as a 2D binary (0/1) matrix, where [i, j] == 1 indicates the presence...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html
    Sat Oct 18 13:52:21 UTC 2025
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  7. OrdinalEncoder — scikit-learn 1.7.2 documentation

    inverse_transform ([[ 1 , 0 ], [ 0 , 1 ]]) array([['Male', 1], ['Female',... =- 1 ) . fit_transform ( X ) array([[ 1., 0.], [ 0., 1.], [...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html
    Sat Oct 18 13:52:21 UTC 2025
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  8. PowerTransformer — scikit-learn 1.7.2 documenta...

    data )) [[-1.316 -0.707] [ 0.209 -0.707] [ 1.106 1.414]] fit (...= ( X * lambda_ + 1 ) ** ( 1 / lambda_ ) - 1 elif X < 0 and lambda_...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html
    Sat Oct 18 13:52:21 UTC 2025
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  9. StratifiedShuffleSplit — scikit-learn 1.7.2 doc...

    array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [...np . array ([ 0 , 0 , 0 , 1 , 1 , 1 ]) >>> sss = StratifiedShuffleSpl...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html
    Sat Oct 18 13:52:22 UTC 2025
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  10. PoissonRegressor — scikit-learn 1.7.2 documenta...

    predict ([[ 1 , 1 ], [ 3 , 4 ]]) array([10.676,...PoissonRegressor ( * , alpha = 1.0 , fit_intercept = True , solver...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html
    Sat Oct 18 13:52:20 UTC 2025
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